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Curriculum
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Course Introduction
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Environment Set-up
4 days
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Jupyter Overview
4 days
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Python Crash Course
4 days
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Python for Data Analysis – NumPy
4 days
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Python for Data Analysis – Pandas
4 days
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Python for Data Analysis – Pandas Exercises
4 days
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Python for Data Visualization – Matplotlib
4 days
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Python for Data Visualization – Seaborn
4 days
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Python for Data Visualization – Pandas Built-in Data Visualization
4 days
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Python for Data Visualization – Plotly and Cufflinks
4 days
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Python for Data Visualization – Geographical Plotting
4 days
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Data Capstone Project
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Introduction to Machine Learning
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Linear Regression
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Cross Validation and Bias-Variance Trade-Off
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Logistic Regression
4 days
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K Nearest Neighbors
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Decision Trees and Random Forests
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Support Vector Machines
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K Means Clustering
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Principal Component Analysis
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Natural Language Processing
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Neural Nets and Deep Learning
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Big Data and Spark with Python
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BONUS SECTION: THANK YOU!
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Course Introduction
Decision Trees and Random Forests
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